Language Data Scientist Alexa International Tech
Language Data Scientist Alexa International Tech
Posted on :
09-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 125500 - 212800
Vacancy
1 Vacancy
Posted on :
09-04-2025
Job Description
Alexa International Tech (AIT) team is looking for a passionate talented and inventive Sr language Data Scientist to help build industryleading technology with Large Language Models (LLMs) and multimodal systems requiring strong deep learning and generative models knowledge.
You will collaborate with fellow Language Data Scientists Program managers as well as Stakeholders in science engineering and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement.
You will apply stateoftheart Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization.
Key job responsibilities
Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM
Produce and manipulate different types of language data analyze and provide efficient solutions
Design and lead a data collection; define scope and target provide a guideline and training guide teams cross sites to meet the quality bar and run evaluation of data for hand off
Engineer prompts to guide generative AI to produce desired outputs in context
Automate operations and perform data analysis using python or other scripting language.
Advocate strict adherence to annotation guidelines
Test and deploy changes to Alexas language understanding codebase
Identify and solve production issues that are impacting the Alexa customer experience
Collaborate with other linguists scientists and designers in creating optimal solutions to elevate the customer experience
Own the customerfacing machine learning and deterministic models for a specific domain of features
Use modeling tools to bootstrap and test new functionalities
2 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Masters degree or PhD
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
You will collaborate with fellow Language Data Scientists Program managers as well as Stakeholders in science engineering and product teams to understand the role data plays in developing data sets and exemplars that meet customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement.
You will apply stateoftheart Generative AI techniques to analyze how well our data represents human language and run experiments to gauge downstream interactions. You will work collaboratively with other language data scientists and scientists to design and implement principled strategies for data optimization.
Key job responsibilities
Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM
Produce and manipulate different types of language data analyze and provide efficient solutions
Design and lead a data collection; define scope and target provide a guideline and training guide teams cross sites to meet the quality bar and run evaluation of data for hand off
Engineer prompts to guide generative AI to produce desired outputs in context
Automate operations and perform data analysis using python or other scripting language.
Advocate strict adherence to annotation guidelines
Test and deploy changes to Alexas language understanding codebase
Identify and solve production issues that are impacting the Alexa customer experience
Collaborate with other linguists scientists and designers in creating optimal solutions to elevate the customer experience
Own the customerfacing machine learning and deterministic models for a specific domain of features
Use modeling tools to bootstrap and test new functionalities
2 years of data scientist experience
3 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
Masters degree or PhD
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Intern
Employment Type
Full-Time
Key Skills
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